Training Data
Extract features from simulation runs for Phoenix and export training datasets for ML
Completed Runs for Phoenix
Select a run to extract features from observations
No completed runs yet for Phoenix. Run a simulation first.
Exported Training Sets
Previously exported datasets for Phoenix ready for Azure ML
No training sets exported yet for Phoenix.
22-Feature Vector Schema
Input features for ML model (black box) - includes city_id and city_code for multi-city support
Congestion (F1-F7)
- F1: avg_duration_seconds
- F2: std_dev_duration_seconds
- F3: traffic_condition_light
- F4: traffic_condition_moderate
- F5: traffic_condition_heavy
- F6: incidents_count
- F7: total_incident_delay_seconds
Fuel (F8-F10)
- F8: distance_meters
- F9: avg_speed_kph
- F10: stop_and_go_percent
Pricing (F11-F16)
- F11: time_of_day_hour
- F12: day_of_week
- F13: is_rush_hour
- F14: is_weekend
- F15: corridor_type
- F16: base_price_multiplier
Wait Time & City (F17-F22+)
- F17: estimated_driver_wait_minutes
- F18: estimated_rider_wait_minutes
- F19: active_drivers_in_zone
- F20: active_riders_in_zone
- F21: corridor_id_encoded
- F22: observation_timestamp
- city_id (string)
- city_code (int: 0=PHX, 1=LA)